Unpacking Algorithmic Bias in Online Mental Health Resources
The online landscape is rapidly evolving to offer mental health resources. However, these tools often rely algorithms that can reinforce existing societal biases. This poses a serious issue as users seeking aid may encounter unfair outcomes based on their background, sex, or other personal traits. It is crucial to analyze these biases and endeavor